International Conference on Computing and Big Data ICCBD on September 28-30, 2026 in Guiyang, China - Conference Index

International Conference on Computing and Big Data ICCBD on September 28-30, 2026 in Guiyang, China

International Conference on Computing and Big Data (ICCBD) September 28, 2026 - Guiyang, China

Co-sponsored by

Guizhou Normal University

Southwest University


Hosted by

School of Big Data And Computer Science, Guizhou Normal University

School of Software Engineering, School of Computer and Information Science, Southwest University


Awards

Best Paper Award

Best Presentation Award

Best Reviewer Award

Best Organization Award

Outstanding Contribution Award


Publication:

Reviewed and registered papers after the appropriate presentation will be published as an IEEE conference Proceedings, which will be indexed by EI Compendex, SCOPUS, etc.

ICCBD 2018-2023 proceedings has been successfully indexed by EI Compendex and Scopus already.


Track Application & Excellent Organization Award:

To set a track under the conference scope, can gather the experts in a specific area from academic communication. If you are interested, you can write the application to the conference email.

The privileges for the organizer

-organization award

-1 free to attend the conference without registration fee


Invited Speaker Application:

If you are a professor or an assoc.professor who are interested to share your research idea during the conference, you can write the application to the conference email.


Conference Committee

Conference Chairs

Prof.Xiao Wenjun, Guizhou Normal University, China

Prof.Wang Hongbing, Guizhou Normal University, China


Conference Co-Chairs

Prof.Gou Jianping, Southwest University, China

Prof. Zhi Wang, Southwest University, China


Program Chairs

Prof. Shaoning Zeng, University of Electronic Science and Technology of China, China

Prof. Heping Song, Jiangsu University, China

Prof.Niu Jie, Changzhou College of Information Technology, China

Prof.Chen Yanli, Guizhou Normal University, China

Prof.Yi Yong, Chengdu University, China


Program Co-Chairs

Prof.Du Lan, Monash University, Australia

Assoc. Prof. Zhengjuan Zhou, Chengdu Technological University, China

Assoc. Prof. Taisong Xiong, Chengdu University of Information Technology, China


Regional Chairs

Prof. Jinhua Liu, Shangrao Normal University, China

Assoc. Prof. Yuanyuan Huang, Chengdu University of Information Technology, China

Assoc. Prof. Hongxing Ma, North Minzu University, China


Submission:

1. Full paper with at least 4 full pages or 5 pages (publication and presentation)

2. Abstract within 200-300 words (presentation only)

3. Submit paper online system: https://easychair.org/conferences/?conf=iccbd2026

Send to mailbox: [email protected]


Listener registration:

Welcome all the scholars to register as listener to attend without any submission. If 3-5 persons to attend together, you can enjoy the discount.

https://confsys.iconf.org/register/iccbd2026


Schedule:

Sept.28---Registration & Conference Materials Collection & Welcome Banquet

Sept.29---Opening Ceremony, Keynote & Invited Speeches as well as Track Parallel Sessions, Award Banquet

Sept.30---Morning Oral Presentations & Afternoon Campus Visit


CONTACT US:

Ms. Tessa Tan

Email: [email protected]

Web: https://iccbd.org/

Tel: (+86)-17711589302

Topics (include but not limit):

Topic 1: Data-Centric Computing Architectures and Platforms

Data-Centric Architectures and AI-Driven Architectures

Distributed and Stream Processing Frameworks

Edge, Cloud, Hybrid and Multi-Cloud Computing Architectures

Microservices, Containerization and Serverless Computing

Scalable Storage, Data Warehousing and OLAP Architectures

Infrastructure, Architecture and Platforms for Big Data

Security and Privacy in Data-Centric Architectures


Topic 2: Big Data Analytics, Models and Algorithms

Novel Theoretical and Computational Models

Big Data Analytics and Intelligent Data Processing

Machine Learning and Deep Learning for Big Data

Algorithms and Techniques for Real-world Applications

City-scale Data Mining and Large-scale Machine Learning

Multimedia and Multi-structured Data Analytics

Issues, Challenges and Opportunities in Big Data


Topic 3: Visualization, Image Processing and Multimedia Analytics

Image Processing and Computer Vision based on Big Data

Visual Analytics and Interactive Data Visualization

Multimedia Data Understanding and Representation

Large-scale Image, Video and Remote Sensing Data Analysis

Medical Image Analysis and Intelligent Diagnosis

Visual Analytics for Scientific and Industrial Big Data


Topic 4: Blockchain Technologies and Distributed Intelligent Systems

Blockchain Technologies, Methodologies and Architectures

Blockchain-based Distributed Applications and Transactions

Blockchain in Smart Cities, IoT and Intelligent Transportation

Blockchain for Data Security, Privacy and Trust

Performance Modeling, Optimization and Evaluation of Blockchain Systems

Experimental Prototyping and Testbeds for Blockchains


Topic 5: Networking, IoT and Cybersecurity for Big Data Systems

Internet of Things (IoT) Integrated Power and Data Systems

5G/6G Networks and Intelligent Communications

Cybersecurity Technologies and Threat Detection

Privacy Preserving Big Data Analytics and Encryption

Access Control, Authentication and Cryptographic Protocols

Trust, Privacy and Legal Issues in Networked Systems


Topic 6: Intelligent Energy Systems and Smart Infrastructure Analytics

Intelligent Energy Consumption and Behavior Identification

DER Management and Demand Response

Energy Data Analytics and Energy Substitution Management

Transaction of Power Consumption Rights

Smart Grid, Smart City and Infrastructure Data Platforms

AI and Big Data for Sustainable Energy Systems


Topic 7: Big Data Science, Management and Governance

Data Understanding, Quality and Provenance Control

Big Data Standards, Programming Models and Toolkits

Big Data Management, Persistence and Preservation

Open Data Platforms and Data Sharing Mechanisms

Enterprise and Industrial Big Data Practices

Pricing Models and Policy in Data-driven Systems


Topic 8: Big Data and Intelligent Computing for Education and Society

Big Data Analytics in Education and Learning Systems

Learning Analytics and Educational Data Mining

Intelligent Tutoring Systems and Personalized Learning

AI-driven Assessment, Evaluation and Recommendation

Visualization and Image Analysis for Educational Applications

Big Data Applications for Social Computing and Public Services

For more topics, please visit at: https://iccbd.org/Topic.html

Name: youngnd

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